Document Grabber

Downloads document from a certain database which can be specified in the dialog, i.e.: PubMed. After sending the specified query to the database and downloading the resulting documents, the documents will be parsed and deleted if it is specified in the dialog.

Options

Query

The query which is send to the specified database.

Number of results

After a click at the button, the number of results related to the specified query will be shown.

Maximal results

The number of maximal resulting documents to download and parse.

Append query column

If checked a string column is appended, containing the specified query string.

Database

The database to send the query to and receive the resulting documents from, i.e.: PubMed.

Extract meta information if provided by database

If checked, meta information is extracted if provided by database. In case of PubMed the meta information consists of PubMed ID, the chemical list, and the mesh heading list assigned to the article. The meta information is stored as a regular section in the documents, annotated as meta information section.

Documents directory

The directory to save the documents to. The specified directory must exist, be writable and empty.

Delete after parsing

If checked, the files containing the documents will be deleted after parsing.

Document category

The category of the documents.

Document type

The type of the documents.

Word tokenizer

Select the tokenizer used for word tokenization. Go to Preferences -> KNIME -> Textprocessing to read the description for each tokenizer.

Views

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Workflows

• 01_Creating_A_CorpusKNIME Hub
• 01_Creating_A_CorpusKNIME Hub
• 01_Creating_A_CorpusKNIME Hub
• 03_Fun_with_TagsKNIME Hub
• 03_Fun_with_TagsKNIME Hub
• Show all 45 workflows

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